Joachim M Buhmann
12 papers · 2006–2023 · 2 venues · across top CS/AI venues
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Achievements
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(77)
Venues
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Research topics
Machine Learning
(11)
Learning Types Β· Machine Learning
(7)
Optimization & Theory
(6)
Deep Learning
(5)
Core Methods
(5)
Artificial Intelligence
(4)
Computer Vision
(3)
Mathematics & Optimization
(3)
Optimization
(3)
Analysis
(2)
Application Areas
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Core AI
(2)
Learning Types Β· Deep Learning
(2)
Keywords
parameter inference
(2)
dynamical system
(2)
variational inference
(2)
dimensionality reduction
(2)
non-convex optimization
(1)
stochastic gradient descent
(1)
reinforcement learning
(1)
robust regression
(1)
representation learning
(1)
model selection
(1)
semi-supervised learning
(1)
domain generalization
(1)
kernel principal component analysis
(1)
anomaly detection
(1)
classification
(1)
semantic segmentation
(1)
data subsampling
(1)
in-context learning
(1)
point cloud
(1)
stochastic gradient
(1)
Papers
Explore In-Context Learning for 3D Point Cloud Understanding
NeurIPS 2023
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective
NeurIPS 2023
Holistic Modeling In Medical Image Segmentation Using Spatial Recurrence
MIDL 2022
Learning Long-Term Crop Management Strategies with CyclesGym
NeurIPS 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
NeurIPS 2022
Continuous DR-submodular Maximization: Structure and Algorithms
NeurIPS 2017
Efficient and Flexible Inference for Stochastic Systems
NeurIPS 2017
Scalable Variational Inference for Dynamical Systems
NeurIPS 2017
Scalable Adaptive Stochastic Optimization Using Random Projections
NeurIPS 2016
Fast and Robust Least Squares Estimation in Corrupted Linear Models
NeurIPS 2014
Correlated random features for fast semi-supervised learning
NeurIPS 2013
Denoising and Dimension Reduction in Feature Space
NeurIPS 2006